Specificity (SPTY) FCF Margin (2021 - 2026)
Specificity (SPTY) recorded FCF Margin of -1.18% in Q2 2026, down 2.01 percentage points from 0.83% a year earlier but up 35.96 percentage points from the prior quarter.
Specificity (SPTY) FCF Margin (2021 - 2026) Analysis & Trends
On a TTM basis, Specificity's FCF Margin came in at -23.69% as of Jun 30, 2026, up 10.72 percentage points year-over-year; for FY2025, it came in at -13.70%, up 22.81 percentage points from FY2024.
- Annual FCF Margin has increased for three straight years, with a five-year change of +43.97 percentage points (FY2020 to FY2025).
- Across earlier years, FCF Margin came in at -36.51% in FY2024 (+18.54 pp), -55.05% in FY2023 (+115.19 pp), -170.24% in FY2022 (-19.71 pp) and -150.53% in FY2021 (-92.87 pp).
- Quarterly FCF Margin has ranged from -275.38% in Q1 2022 to 12.34% in Q3 2023 over the past five years.
- On a year-over-year basis, FCF Margin rose in three of the last eight quarters, with an average year-over-year change of -6.35 percentage points.
- Peak year-over-year performance for FCF Margin in the last five years was a gain of 140.63 percentage points in Q1 2024, against a drop of 149.07 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -37.14% (Q1 2026), -60.10% (Q4 2025) and -1.71% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 479.32 Bn | 448.27 Bn | 1.64 Bn | 62.08% |
| 2 | Oracle | 385.45 Bn | 257.58 Bn | - | -27.89% |
| 3 | Sap Se | 269.29 Bn | 197.07 Bn | 8.40 Bn | 33.09% |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | 9.68% |
| 5 | ServiceNow | 157.30 Bn | 135.76 Bn | 2.82 Bn | 11.86% |
| 6 | Automatic Data Processing | 118.43 Bn | 100.56 Bn | 2.51 Bn | 24.76% |
| 7 | Intuit | 92.23 Bn | 71.58 Bn | 3.44 Bn | 29.95% |
| 8 | Relx | 70.93 Bn | 70.02 Bn | - | - |
| 9 | Strategy | 54.55 Bn | 47.54 Bn | 81.55 Mn | -4.83% |
| 10 | Specificity | 4.98 Mn | 4.93 Mn | 118,436.00 | -1.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.18% |
| Mar 31, 2026 | -37.14% |
| Dec 31, 2025 | -60.10% |
| Sep 30, 2025 | -1.71% |
| Jun 30, 2025 | 0.83% |
| Mar 31, 2025 | 4.29% |
| Dec 31, 2024 | -146.68% |
| Sep 30, 2024 | -56.71% |
| Jun 30, 2024 | 1.76% |
| Mar 31, 2024 | -8.46% |
| Dec 31, 2023 | -54.94% |
| Sep 30, 2023 | 12.34% |
| Jun 30, 2023 | -51.18% |
| Mar 31, 2023 | -149.08% |
| Dec 31, 2022 | -164.97% |
| Jun 30, 2022 | -102.46% |
| Mar 31, 2022 | -275.38% |
| Dec 31, 2021 | -245.04% |
| Sep 30, 2021 | -73.47% |
| Jun 30, 2021 | -143.39% |
Specificity FCF Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=fcf-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-margin", "ticker": "SPTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=fcf-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();